7 files changed, 183 insertions, 52 deletions

diff --git a/g4f/Provider/GeminiPro.py b/g4f/Provider/GeminiPro.py
new file mode 100644
index 00000000..b296f253
--- /dev/null
+++ b/g4f/Provider/GeminiPro.py
@@ -0,0 +1,86 @@
+from __future__ import annotations
+
+import base64
+import json
+from aiohttp import ClientSession
+
+from ..typing import AsyncResult, Messages, ImageType
+from .base_provider import AsyncGeneratorProvider, ProviderModelMixin
+from ..image import to_bytes, is_accepted_format
+
+
+class GeminiPro(AsyncGeneratorProvider, ProviderModelMixin):
+    url = "https://ai.google.dev"
+    working = True
+    supports_message_history = True
+    default_model = "gemini-pro"
+    models = ["gemini-pro", "gemini-pro-vision"]
+
+    @classmethod
+    async def create_async_generator(
+        cls,
+        model: str,
+        messages: Messages,
+        stream: bool = False,
+        proxy: str = None,
+        api_key: str = None,
+        image: ImageType = None,
+        **kwargs
+    ) -> AsyncResult:
+        model = "gemini-pro-vision" if not model and image else model
+        model = cls.get_model(model)
+        api_key = api_key if api_key else kwargs.get("access_token")
+        headers = {
+            "Content-Type": "application/json",
+        }
+        async with ClientSession(headers=headers) as session:
+            method = "streamGenerateContent" if stream else "generateContent"
+            url = f"https://generativelanguage.googleapis.com/v1beta/models/{model}:{method}"
+            contents = [
+                {
+                    "role": "model" if message["role"] == "assistant" else message["role"],
+                    "parts": [{"text": message["content"]}]
+                }
+                for message in messages
+            ]
+            if image:
+                image = to_bytes(image)
+                contents[-1]["parts"].append({
+                    "inline_data": {
+                        "mime_type": is_accepted_format(image),
+                        "data": base64.b64encode(image).decode()
+                    }
+                })
+            data = {
+                "contents": contents,
+                # "generationConfig": {
+                #     "stopSequences": kwargs.get("stop"),
+                #     "temperature": kwargs.get("temperature"),
+                #     "maxOutputTokens": kwargs.get("max_tokens"),
+                #     "topP": kwargs.get("top_p"),
+                #     "topK": kwargs.get("top_k"),
+                # }
+            }
+            async with session.post(url, params={"key": api_key}, json=data, proxy=proxy) as response:
+                if not response.ok:
+                    data = await response.json()
+                    raise RuntimeError(data[0]["error"]["message"])
+                if stream:
+                    lines = []
+                    async for chunk in response.content:
+                        if chunk == b"[{\n":
+                            lines = [b"{\n"]
+                        elif chunk == b",\r\n" or chunk == b"]":
+                            try:
+                                data = b"".join(lines)
+                                data = json.loads(data)
+                                yield data["candidates"][0]["content"]["parts"][0]["text"]
+                            except:
+                                data = data.decode() if isinstance(data, bytes) else data
+                                raise RuntimeError(f"Read text failed. data: {data}")
+                            lines = []
+                        else:
+                            lines.append(chunk)
+                else:
+                    data = await response.json()
+                    yield data["candidates"][0]["content"]["parts"][0]["text"]
\ No newline at end of file
diff --git a/g4f/Provider/__init__.py b/g4f/Provider/__init__.py
index bad77e9b..270b6356 100644
--- a/g4f/Provider/__init__.py
+++ b/g4f/Provider/__init__.py
@@ -34,6 +34,7 @@ from .FakeGpt         import FakeGpt
 from .FreeChatgpt     import FreeChatgpt
 from .FreeGpt         import FreeGpt
 from .GeekGpt         import GeekGpt
+from .GeminiPro       import GeminiPro
 from .GeminiProChat   import GeminiProChat
 from .Gpt6            import Gpt6
 from .GPTalk          import GPTalk
diff --git a/g4f/Provider/needs_auth/OpenaiChat.py b/g4f/Provider/needs_auth/OpenaiChat.py
index b3577ad5..001f5a3c 100644
--- a/g4f/Provider/needs_auth/OpenaiChat.py
+++ b/g4f/Provider/needs_auth/OpenaiChat.py
@@ -23,10 +23,11 @@ from ..base_provider import AsyncGeneratorProvider, ProviderModelMixin
 from ..helper import format_prompt, get_cookies
 from ...webdriver import get_browser, get_driver_cookies
 from ...typing import AsyncResult, Messages, Cookies, ImageType
-from ...requests import StreamSession
+from ...requests import get_args_from_browser
+from ...requests.aiohttp import StreamSession
 from ...image import to_image, to_bytes, ImageResponse, ImageRequest
 from ...errors import MissingRequirementsError, MissingAuthError
-
+from ... import debug
 
 class OpenaiChat(AsyncGeneratorProvider, ProviderModelMixin):
     """A class for creating and managing conversations with OpenAI chat service"""
@@ -39,7 +40,7 @@ class OpenaiChat(AsyncGeneratorProvider, ProviderModelMixin):
     default_model = None
     models = ["gpt-3.5-turbo", "gpt-4", "gpt-4-gizmo"]
     model_aliases = {"text-davinci-002-render-sha": "gpt-3.5-turbo"}
-    _cookies: dict = {}
+    _args: dict = None
 
     @classmethod
     async def create(
@@ -169,11 +170,12 @@ class OpenaiChat(AsyncGeneratorProvider, ProviderModelMixin):
         """
         if not cls.default_model:
             async with session.get(f"{cls.url}/backend-api/models", headers=headers) as response:
+                response.raise_for_status()
                 data = await response.json()
                 if "categories" in data:
                     cls.default_model = data["categories"][-1]["default_model"]
-                else:
-                    raise RuntimeError(f"Response: {data}")
+                    return cls.default_model 
+                raise RuntimeError(f"Response: {data}")
         return cls.default_model
     
     @classmethod
@@ -249,8 +251,10 @@ class OpenaiChat(AsyncGeneratorProvider, ProviderModelMixin):
         first_part = line["message"]["content"]["parts"][0]
         if "asset_pointer" not in first_part or "metadata" not in first_part:
             return
-        file_id = first_part["asset_pointer"].split("file-service://", 1)[1]
+        if first_part["metadata"] is None:
+            return
         prompt = first_part["metadata"]["dalle"]["prompt"]
+        file_id = first_part["asset_pointer"].split("file-service://", 1)[1]
         try:
             async with session.get(f"{cls.url}/backend-api/files/{file_id}/download", headers=headers) as response:
                 response.raise_for_status()
@@ -289,7 +293,7 @@ class OpenaiChat(AsyncGeneratorProvider, ProviderModelMixin):
         messages: Messages,
         proxy: str = None,
         timeout: int = 120,
-        access_token: str = None,
+        api_key: str = None,
         cookies: Cookies = None,
         auto_continue: bool = False,
         history_disabled: bool = True,
@@ -308,7 +312,7 @@ class OpenaiChat(AsyncGeneratorProvider, ProviderModelMixin):
             messages (Messages): The list of previous messages.
             proxy (str): Proxy to use for requests.
             timeout (int): Timeout for requests.
-            access_token (str): Access token for authentication.
+            api_key (str): Access token for authentication.
             cookies (dict): Cookies to use for authentication.
             auto_continue (bool): Flag to automatically continue the conversation.
             history_disabled (bool): Flag to disable history and training.
@@ -329,35 +333,47 @@ class OpenaiChat(AsyncGeneratorProvider, ProviderModelMixin):
             raise MissingRequirementsError('Install "py-arkose-generator" and "async_property" package')
         if not parent_id:
             parent_id = str(uuid.uuid4())
-        if not cookies:
-            cookies = cls._cookies or get_cookies("chat.openai.com", False)
-        if not access_token and "access_token" in cookies:
-            access_token = cookies["access_token"]
-        if not access_token:
-            login_url = os.environ.get("G4F_LOGIN_URL")
-            if login_url:
-                yield f"Please login: [ChatGPT]({login_url})\n\n"
-            try:
-                access_token, cookies = cls.browse_access_token(proxy)
-            except MissingRequirementsError:
-                raise MissingAuthError(f'Missing "access_token"')
-            cls._cookies = cookies
-
-        auth_headers = {"Authorization": f"Bearer {access_token}"}
+        if cls._args is None and cookies is None:
+            cookies = get_cookies("chat.openai.com", False)
+        api_key = kwargs["access_token"] if "access_token" in kwargs else api_key
+        if api_key is None:
+            api_key = cookies["access_token"] if "access_token" in cookies else api_key
+        if cls._args is None:
+            cls._args = {
+                "headers": {"Cookie": "; ".join(f"{k}={v}" for k, v in cookies.items() if k != "access_token")},
+                "cookies": {} if cookies is None else cookies
+            }
+        if api_key is not None:
+            cls._args["headers"]["Authorization"] = f"Bearer {api_key}"
         async with StreamSession(
             proxies={"https": proxy},
-            impersonate="chrome110",
+            impersonate="chrome",
             timeout=timeout,
-            headers={"Cookie": "; ".join(f"{k}={v}" for k, v in cookies.items())}
+            headers=cls._args["headers"]
         ) as session:
+            if api_key is not None:
+                try:
+                    cls.default_model = await cls.get_default_model(session, cls._args["headers"])
+                except Exception as e:
+                    if debug.logging:
+                        print(f"{e.__class__.__name__}: {e}")
+            if cls.default_model is None:
+                login_url = os.environ.get("G4F_LOGIN_URL")
+                if login_url:
+                    yield f"Please login: [ChatGPT]({login_url})\n\n"
+                try:
+                    cls._args = cls.browse_access_token(proxy)
+                except MissingRequirementsError:
+                    raise MissingAuthError(f'Missing or invalid "access_token". Add a new "api_key" please')
+                cls.default_model = await cls.get_default_model(session, cls._args["headers"])
             try:
                 image_response = None
                 if image:
-                    image_response = await cls.upload_image(session, auth_headers, image, kwargs.get("image_name"))
+                    image_response = await cls.upload_image(session, cls._args["headers"], image, kwargs.get("image_name"))
             except Exception as e:
                 yield e
             end_turn = EndTurn()
-            model = cls.get_model(model or await cls.get_default_model(session, auth_headers))
+            model = cls.get_model(model)
             model = "text-davinci-002-render-sha" if model == "gpt-3.5-turbo" else model
             while not end_turn.is_end:
                 arkose_token = await cls.get_arkose_token(session)
@@ -375,13 +391,19 @@ class OpenaiChat(AsyncGeneratorProvider, ProviderModelMixin):
                 if action != "continue":
                     prompt = format_prompt(messages) if not conversation_id else messages[-1]["content"]
                     data["messages"] = cls.create_messages(prompt, image_response)
+
+                # Update cookies before next request
+                for c in session.cookie_jar if hasattr(session, "cookie_jar") else session.cookies.jar:
+                    cls._args["cookies"][c.name if hasattr(c, "name") else c.key] = c.value
+                cls._args["headers"]["Cookie"] = "; ".join(f"{k}={v}" for k, v in cls._args["cookies"].items())
+
                 async with session.post(
                     f"{cls.url}/backend-api/conversation",
                     json=data,
                     headers={
                         "Accept": "text/event-stream",
                         "OpenAI-Sentinel-Arkose-Token": arkose_token,
-                        **auth_headers
+                        **cls._args["headers"]
                     }
                 ) as response:
                     if not response.ok:
@@ -403,8 +425,8 @@ class OpenaiChat(AsyncGeneratorProvider, ProviderModelMixin):
                         if "message_type" not in line["message"]["metadata"]:
                             continue
                         try:
-                            image_response = await cls.get_generated_image(session, auth_headers, line)
-                            if image_response:
+                            image_response = await cls.get_generated_image(session, cls._args["headers"], line)
+                            if image_response is not None:
                                 yield image_response
                         except Exception as e:
                             yield e
@@ -432,7 +454,7 @@ class OpenaiChat(AsyncGeneratorProvider, ProviderModelMixin):
                 action = "continue"
                 await asyncio.sleep(5)
             if history_disabled and auto_continue:
-                await cls.delete_conversation(session, auth_headers, conversation_id)
+                await cls.delete_conversation(session, cls._args["headers"], conversation_id)
 
     @classmethod
     def browse_access_token(cls, proxy: str = None, timeout: int = 1200) -> tuple[str, dict]:
@@ -457,7 +479,10 @@ class OpenaiChat(AsyncGeneratorProvider, ProviderModelMixin):
                 "document.cookie = 'access_token=' + accessToken + ';expires=' + expires.toUTCString() + ';path=/';"
                 "return accessToken;"
             )
-            return access_token, get_driver_cookies(driver)
+            args = get_args_from_browser(f"{cls.url}/", driver, do_bypass_cloudflare=False)
+            args["headers"]["Authorization"] = f"Bearer {access_token}"
+            args["headers"]["Cookie"] = "; ".join(f"{k}={v}" for k, v in args["cookies"].items() if k != "access_token")
+            return args
         finally:
             driver.close() 
 
diff --git a/g4f/api/__init__.py b/g4f/api/__init__.py
index d1e8539f..18268eec 100644
--- a/g4f/api/__init__.py
+++ b/g4f/api/__init__.py
@@ -21,7 +21,7 @@ class ChatCompletionsConfig(BaseModel):
     temperature: Union[float, None] 
     max_tokens: int = None
     stop: Union[list[str], str, None]
-    access_token: Union[str, None]
+    api_key: Union[str, None]
 
 class Api:
     def __init__(self, engine: g4f, debug: bool = True, sentry: bool = False,
@@ -82,10 +82,10 @@ class Api:
         async def chat_completions(config: ChatCompletionsConfig = None, request: Request = None, provider: str = None):
             try:
                 config.provider = provider if config.provider is None else config.provider
-                if config.access_token is None and request is not None:
+                if config.api_key is None and request is not None:
                     auth_header = request.headers.get("Authorization")
                     if auth_header is not None:
-                        config.access_token = auth_header.split(None, 1)[-1]
+                        config.api_key = auth_header.split(None, 1)[-1]
 
                 response = self.client.chat.completions.create(
                     **dict(config),
@@ -124,4 +124,9 @@ def format_exception(e: Exception, config: ChatCompletionsConfig) -> str:
         "error": {"message": f"ChatCompletionsError: {e.__class__.__name__}: {e}"},
         "model": last_provider.get("model") if last_provider else config.model,
         "provider": last_provider.get("name") if last_provider else config.provider
-    })
\ No newline at end of file
+    })
+
+def run_api(host: str = '0.0.0.0', port: int = 1337, debug: bool = False, use_colors=True) -> None:
+    print(f'Starting server... [g4f v-{g4f.version.utils.current_version}]')
+    app = Api(engine=g4f, debug=debug)
+    uvicorn.run(app=app, host=host, port=port, use_colors=use_colors)
\ No newline at end of file
diff --git a/g4f/client.py b/g4f/client.py
index 023d53f6..bf2179aa 100644
--- a/g4f/client.py
+++ b/g4f/client.py
@@ -86,20 +86,19 @@ def iter_append_model_and_provider(response: IterResponse) -> IterResponse:
         yield chunk
 
 class Client():
-    proxies: Proxies = None
-    chat: Chat
-    images: Images
 
     def __init__(
         self,
+        api_key: str = None,
+        proxies: Proxies = None,
         provider: ProviderType = None,
         image_provider: ImageProvider = None,
-        proxies: Proxies = None,
         **kwargs
     ) -> None:
-        self.chat = Chat(self, provider)
-        self.images = Images(self, image_provider)
+        self.api_key: str = api_key
         self.proxies: Proxies = proxies
+        self.chat: Chat = Chat(self, provider)
+        self.images: Images = Images(self, image_provider)
 
     def get_proxy(self) -> Union[str, None]:
         if isinstance(self.proxies, str):
@@ -125,6 +124,7 @@ class Completions():
         response_format: dict = None,
         max_tokens: int = None,
         stop: Union[list[str], str] = None,
+        api_key: str = None,
         **kwargs
     ) -> Union[ChatCompletion, Generator[ChatCompletionChunk]]:
         if max_tokens is not None:
@@ -137,9 +137,16 @@ class Completions():
             stream,
             **kwargs
         )
-        response = provider.create_completion(model, messages, stream=stream, proxy=self.client.get_proxy(), **kwargs)
         stop = [stop] if isinstance(stop, str) else stop
-        response = iter_append_model_and_provider(iter_response(response, stream, response_format, max_tokens, stop))
+        response = provider.create_completion(
+            model, messages, stream,
+            proxy=self.client.get_proxy(),
+            stop=stop,
+            api_key=self.client.api_key if api_key is None else api_key,
+            **kwargs
+        )
+        response = iter_response(response, stream, response_format, max_tokens, stop)
+        response = iter_append_model_and_provider(response)
         return response if stream else next(response)
 
 class Chat():
diff --git a/g4f/image.py b/g4f/image.py
index 6370a06f..d77654a6 100644
--- a/g4f/image.py
+++ b/g4f/image.py
@@ -97,17 +97,17 @@ def is_accepted_format(binary_data: bytes) -> bool:
         ValueError: If the image format is not allowed.
     """
     if binary_data.startswith(b'\xFF\xD8\xFF'):
-        pass # It's a JPEG image
+        return "image/jpeg"
     elif binary_data.startswith(b'\x89PNG\r\n\x1a\n'):
-        pass # It's a PNG image
+        return "image/png"
     elif binary_data.startswith(b'GIF87a') or binary_data.startswith(b'GIF89a'):
-        pass # It's a GIF image
+        return "image/gif"
     elif binary_data.startswith(b'\x89JFIF') or binary_data.startswith(b'JFIF\x00'):
-        pass # It's a JPEG image
+        return "image/jpeg"
     elif binary_data.startswith(b'\xFF\xD8'):
-        pass # It's a JPEG image
+        return "image/jpeg"
     elif binary_data.startswith(b'RIFF') and binary_data[8:12] == b'WEBP':
-        pass # It's a WebP image
+        return "image/webp"
     else:
         raise ValueError("Invalid image format (from magic code).")
 
diff --git a/g4f/requests/__init__.py b/g4f/requests/__init__.py
index d278ffaf..83176557 100644
--- a/g4f/requests/__init__.py
+++ b/g4f/requests/__init__.py
@@ -15,7 +15,13 @@ from ..webdriver import WebDriver, WebDriverSession, bypass_cloudflare, get_driv
 from ..errors import MissingRequirementsError
 from .defaults import DEFAULT_HEADERS
 
-def get_args_from_browser(url: str, webdriver: WebDriver = None, proxy: str = None, timeout: int = 120) -> dict:
+def get_args_from_browser(
+    url: str,
+    webdriver: WebDriver = None,
+    proxy: str = None,
+    timeout: int = 120,
+    do_bypass_cloudflare: bool = True
+) -> dict:
     """
     Create a Session object using a WebDriver to handle cookies and headers.
 
@@ -29,7 +35,8 @@ def get_args_from_browser(url: str, webdriver: WebDriver = None, proxy: str = No
         Session: A Session object configured with cookies and headers from the WebDriver.
     """
     with WebDriverSession(webdriver, "", proxy=proxy, virtual_display=False) as driver:
-        bypass_cloudflare(driver, url, timeout)
+        if do_bypass_cloudflare:
+            bypass_cloudflare(driver, url, timeout)
         cookies = get_driver_cookies(driver)
         user_agent = driver.execute_script("return navigator.userAgent")
     parse = urlparse(url)